If give 78 promt,whick is bigger than 75 seted,then the warning report can not reflect the true reason.
Especially when first use it ,the first mind is that the venv or installation is wrong.So it is hard to find it.
Below is the report:
Activating unet: [TRT] sd_xl_turbo_1.0_fp16
Loading TensorRT engine: C:\PycharmProjects\stable-diffusion-webui\models\Unet-trt\sd_xl_turbo_1.0_fp16_2329d595_cc89_sample=2x4x128x128+2x4x128x128+2x4x128x128-timesteps=2+2+2-encoder_hidden_states=2x77x2048+2x77x2048+2x77x2048-y=2x2816+2x2816+2x2816.trt
Loaded Profile: 0
sample = [(2, 4, 128, 128), (2, 4, 128, 128), (2, 4, 128, 128)]
timesteps = [(2,), (2,), (2,)]
encoder_hidden_states = [(2, 77, 2048), (2, 77, 2048), (2, 77, 2048)]
y = [(2, 2816), (2, 2816), (2, 2816)]
latent = [(2, 4, 128, 128), (2, 4, 128, 128), (2, 4, 128, 128)]
0%| | 0/10 [00:00<?, ?it/s][E] 3: [executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046] Error Code 3: API Usage Error (Parameter check failed at: runtime/api/executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046, condition: profileMinDims.d[i] <= dimensions.d[i]. Supplied binding dimension [1,4,128,128] for bindings[0] exceed min ~ max range at index 0, maximum dimension in profile is 2, minimum dimension in profile is 2, but supplied dimension is 1.
)
[E] 3: [executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046] Error Code 3: API Usage Error (Parameter check failed at: runtime/api/executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046, condition: profileMinDims.d[i] <= dimensions.d[i]. Supplied binding dimension [1] for bindings[1] exceed min ~ max range at index 0, maximum dimension in profile is 2, minimum dimension in profile is 2, but supplied dimension is 1.
)
[E] 3: [executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046] Error Code 3: API Usage Error (Parameter check failed at: runtime/api/executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046, condition: profileMinDims.d[i] <= dimensions.d[i]. Supplied binding dimension [1,77,2048] for bindings[2] exceed min ~ max range at index 0, maximum dimension in profile is 2, minimum dimension in profile is 2, but supplied dimension is 1.
)
[E] 3: [executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046] Error Code 3: API Usage Error (Parameter check failed at: runtime/api/executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046, condition: profileMinDims.d[i] <= dimensions.d[i]. Supplied binding dimension [1,2816] for bindings[3] exceed min ~ max range at index 0, maximum dimension in profile is 2, minimum dimension in profile is 2, but supplied dimension is 1.
)
0%| | 0/10 [00:01<?, ?it/s]
*** Error completing request
*** Arguments: ('task(r8w89jp9pa4ls6t)', <gradio.routes.Request object at 0x0000025B726629B0>, '8k,indoor,1girl,student,fair_skin,(nude:1.3),:d,highres,incredibly absurdres,bed_sheet,makeup,fundoshi,eyeshadow,naughty_face,<lora:meinv183:1>,', 'blurry,low quality,bad anatomy,lowres,out of focus,bad proportions,Multiple people,deformed,mutated,bad body,(fat:1.2),missing fingers,bad hands,too many fingers,extra legs,cross-eyed,malformed hands,malformed limbs,mutation,missing limb,acnes,mutated hands,mutated hands and fingers,disconnected limbs,', [], 1, 1, 7, 1024, 1024, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 10, 'Euler', 'Karras', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, {'ad_model': 'mediapipe_face_full', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model': 'None', 'ad_model_classes': '', 'ad_prompt': '', 'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DPM++ 2M', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "C:\PycharmProjects\stable-diffusion-webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\PycharmProjects\stable-diffusion-webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "C:\PycharmProjects\stable-diffusion-webui\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "C:\PycharmProjects\stable-diffusion-webui\modules\processing.py", line 845, in process_images
res = process_images_inner(p)
File "C:\PycharmProjects\stable-diffusion-webui\modules\processing.py", line 981, in process_images_inner
samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
File "C:\PycharmProjects\stable-diffusion-webui\modules\processing.py", line 1328, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "C:\PycharmProjects\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 218, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "C:\PycharmProjects\stable-diffusion-webui\modules\sd_samplers_common.py", line 272, in launch_sampling
return func()
File "C:\PycharmProjects\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 218, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "C:\PycharmProjects\stable-diffusion-webui-venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\PycharmProjects\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 128, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "C:\PycharmProjects\stable-diffusion-webui-venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\PycharmProjects\stable-diffusion-webui-venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\PycharmProjects\stable-diffusion-webui\modules\sd_samplers_cfg_denoiser.py", line 256, in forward
x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b]))
RuntimeError: The expanded size of the tensor (1) must match the existing size (2) at non-singleton dimension 0. Target sizes: [1, 4, 128, 128]. Tensor sizes: [2, 4, 128, 128]
If give 78 promt,whick is bigger than 75 seted,then the warning report can not reflect the true reason. Especially when first use it ,the first mind is that the venv or installation is wrong.So it is hard to find it.
Below is the report: